Author

Yong Liu

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#artificial intelligence Preprint Sep 2026

Harness Evolution as Learning: Approximation, Generalization, and Optimization Limits of Self-Improving Personal Agents

As the capabilities of large language models (LLMs) continue to advance, increasing attention is turning to how to translate their abilities into useful behavior. Personal agents bring this question into everyday settings, where models are expected to serve individual users and continually adapt to their preferences. W...

Ze-Yu Gan, Zi-Xuan Gong, Yong Liu · 0 citations

#artificial intelligence Jun 2026

Statistical Priors for Implicit Preferences: Decoupling Skill Selection as a Local Harness in Personal Agents

A novel architecture that strictly decouples statistical preference learning from semantic intent parsing is explored, which achieves the lowest cumulative regret and highest test accuracy, significantly outperforming traditional memory-augmented agents.

Ze-Yu Gan, Huayi Tang, Yong Liu · arXiv.org · 2 citations

Preprint Aug 2026

Discovering Diverse Planning Policies for Multimodal Embodied Agents with Quality-Diversity Optimization

Multimodal embodied agents are increasingly required to solve long-horizon tasks by integrating visual observations, textual goals, and interaction history into closed-loop decision making. However, state-of-the-art large-model-based planners often rely on a single dominant planning style during execution. Once this ex...

Peng Xu, Yong Liu, Xiaoya Nan et al. · 0 citations